Summary
Sen Yao is a Data Science Manager and full-stack data scientist with nine years of experience applying explainable machine learning and computational biology to healthcare and biological problems. He has led end-to-end production deployments—from EHR-driven clinical risk models and federated medical imaging systems to patient education tools used in global tertiary hospitals—while publishing seven papers and releasing a Python package on PyPI. Combining a PhD in bioinformatics with hands-on software engineering, he bridges wet-lab insight and large-scale data engineering to deliver interpretable, clinically actionable models. Notably, his work on protein-structure evaluation tooling and automated ML pipelines demonstrates a consistent focus on reproducible, production-grade research that attracts cross-disciplinary collaborations and funding.
8 years of coding experience